Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
n32_36 is a machine-learning algorithm	1111	06-jul-2018	99.4
advisory_council is a professional organization	1111	06-jul-2018	99.9
revoluticon is a convention	1111	06-jul-2018	99.8
mission_grape is a wine	1111	06-jul-2018	92.2
dent_mountain is a mountain	1111	06-jul-2018	99.9
stanford hired johnny_dawkins	1111	06-jul-2018	100.0
kim_il_sung is a person who died on the date n1994	1116	12-sep-2018	100.0
agassi is an athlete who wins french_open	1116	12-sep-2018	99.2
lehman_brothers is headquartered in the city nueva_york	1116	12-sep-2018	100.0
agency_for_healthcare_research is headquartered in the country u_s_	1116	12-sep-2018	96.9